Abstract
The edge detection is a primary technique in image processing which gives the form of the object in an image. The absolute result of edge detection method can build the boundary of the object and also the curves of the surfaces, and in image segmentation registration and object detection, edge detection method is used. There are many approval methods for edge detection, such as model-based approach, first-order derivation of edge detection, second-order derivation of edge detection, and Canny edge detection. In existing system, we used Canny method while detecting the edge of an image, and when we are using there are some defaults like noise sensitivity. To get a better result of edge detection method, we are going to propose an optimization algorithm named Ant colony optimization algorithm.
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Hinduja, P., Suresh, K., Ravi Kiran, B. (2016). Edge Detection on an Image Using Ant Colony Optimization. In: Satapathy, S., Raju, K., Mandal, J., Bhateja, V. (eds) Proceedings of the Second International Conference on Computer and Communication Technologies. Advances in Intelligent Systems and Computing, vol 381. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2526-3_61
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DOI: https://doi.org/10.1007/978-81-322-2526-3_61
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